Data engineering services play a crucial role in enabling organizations to harness the power of data for informed decision-making, business intelligence, and innovation. Ingest, store, process, and analyse data from disparate sources, legacy systems, and third-party platforms into an accessible, cost efficient and scalable big data platform in the cloud.
Our team of qualified and experienced Data Engineers and Consultants will create high-performance infrastructure and optimize your data to help you make better decisions and achieve your business goals
Our Data Engineering Services
Datawelkin's Data Engineering Services include:
- Data Ingestion: Develop processes to ingest data from disparate sources including legacy systems and third-party platforms.
- Data Storage: Data engineers determine the appropriate storage solutions based on factors like data volume, variety, velocity, and access patterns. They set up databases, data lakes, or data warehouses to store structured, semi-structured, and unstructured data efficiently.
- Data Processing and Transformation: Implement data processing pipelines to cleanse, transform, and enrich the ingested data.
- Optimization and Performance Tuning: Continuously optimize the performance of the data platform by fine-tuning configurations, optimizing queries, and improving data processing pipelines.
Case Study
Untangling the Data Mess: A Cloud-Based Data Warehouse Solution for a Food Service Company
Move your food processing business to the cloud! See how we helped a meat processor achieve real-time temperature monitoring, reduce spoilage, and gain data-driven insights with Azure and QlikSense.
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